Search Results for author: Ye Hu

Found 8 papers, 0 papers with code

Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking

no code implementations22 Jan 2024 Yujiao Zhu, Mingzhe Chen, Sihua Wang, Ye Hu, Yuchen Liu, Changchuan Yin

Meanwhile, since the accuracy of the distance estimation depends on the signal-to-noise ratio of the transmission signals, the active UAV must optimize its transmit power.

Semantic Information Extraction for Text Data with Probability Graph

no code implementations16 Sep 2023 Zhouxiang Zhao, Zhaohui Yang, Ye Hu, Licheng Lin, Zhaoyang Zhang

In this paper, the problem of semantic information extraction for resource constrained text data transmission is studied.

Semantic Similarity Semantic Textual Similarity

A Lightweight NMS-free Framework for Real-time Visual Fault Detection System of Freight Trains

no code implementations25 May 2022 Guodong Sun, Yang Zhou, Huilin Pan, Bo Wu, Ye Hu, Yang Zhang

In this paper, we propose a lightweight NMS-free framework to achieve real-time detection and high accuracy simultaneously.

Fault Detection

Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks

no code implementations6 Dec 2020 Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui

Analytical results show that, the proposed VD-RL algorithm is guaranteed to converge to a local optimal solution of the non-convex optimization problem.

Meta-Learning Navigate

Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks

no code implementations25 May 2020 Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui

Meanwhile, the probability that the DBS serves over 50% of user requests increases about 27%, compared to the baseline policy gradient algorithm.

Meta-Learning Meta Reinforcement Learning +2

CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering System

no code implementations15 Nov 2017 Yuan Yang, Jingcheng Yu, Ye Hu, Xiaoyao Xu, Eric Nyberg

In this paper, we present LiveMedQA, a question answering system that is optimized for consumer health question.

Answer Generation General Classification +4

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